Epigenomics and transcriptomics profiles of developing zebrafish heart cells

  • Gulrez Chahal
  • , Michael P. Eichenlaub
  • , Markus Tondl
  • , Michał Pawlak
  • , Monika Mohenska
  • , Lin Grimm
  • , Lauren Bottrell
  • , Mark Drvodelic
  • , Sara Alaei
  • , Jeannette Hallab
  • , Lisa N. Waylen
  • , Jose M. Polo
  • , Cédric Blanpain
  • , Nathan Palpant
  • , Fernando J. Rossello
  • , Minna Liisa Änkö
  • , Peter D. Currie
  • , Benjamin M. Hogan
  • , Cecilia Winata
  • , Ekaterina Salimova
  • Hieu T. Nim*, Mirana Ramialison*
*Corresponding author for this work

Research output: Contribution to journalData articlepeer-review

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Abstract

cis-Regulatory elements (cREs) are essential for the spatio-temporal control of gene expression during development and disease. However, cRE activity is highly dependent on cell and tissue type. The developing heart is composed of several cell-types, predominantly cardiomyocytes. Therefore, cardiomyocyte-specific modelling is required to understand the cis-regulation of the developing heart. Zebrafish are an ideal model to study heart development, as they share several physiological features with the human heart during cardiogenesis. Here, we present a comprehensive cardiomyocyte-specific repertoire of cREs isolated from zebrafish larvae. This data combines in vivo transcriptomics and epigenetic profiling, providing insights into cREs and their associated genes involved in heart development. We further perform transgenic reporter assays for the identified cREs associated with popdc2 and bmp10 genes, validating these genomic regions as cardiac regulatory elements. We share this comprehensive, reproducible cardiomyocyte-specific cREs resource as an interrogable web tool for understanding the epigenetic and transcriptomic mechanisms underlying heart development and emergence of congenital heart defects.

Original languageEnglish
Article number1620
Number of pages10
JournalScientific Data
Volume12
DOIs
Publication statusPublished - 2025
Publication typeA1 Journal article-refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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